Technologist Track: Advances in CMR-AI in CMR

Video Transcription

Video Summary

The session introduces AI in cardiac MRI, explaining key concepts such as machine learning, deep learning, and convolutional neural networks for tasks like segmentation, enhancement, and diagnosis. It outlines how models are trained, validated, and tested, emphasizing cross-validation, external validation, reproducibility, and fair evaluation. Examples include automated heart segmentation, improved measurement reproducibility in hypertrophic cardiomyopathy, genetic population studies, outcome prediction in pulmonary hypertension, and accelerated image reconstruction from undersampled data. The talk also highlights clinical adoption, patient acceptability, data standards, workforce training, and the importance of responsible AI use in healthcare.

Keywords

cardiac MRI

machine learning

deep learning

image segmentation

clinical AI